Fraud Exploitation
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资源简介：
The purpose of this dataset is to build machine learning classifiers to predict exploitation of securities fraud victims in Canada. The dataset consists of numeric, float, and categorical variables. The dataset also consist of features related to victims’ demographics, financial profile, and investments. This work was done with funding from a SSHRC Insight Development Grant
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Borealis创建时间：
2022-10-03
